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docker aws python kubernetes gcp📋 Description
- Model Development: Design and implement models for business needs.
- Model Deployment: Build infrastructure to deploy models in production.
- Data Processing: Ensure clean, structured data for training and evaluation.
- Performance Optimization: Monitor and optimize model performance.
- Collaboration: Work with cross-functional teams to integrate ML into products.
- Innovation: Stay up-to-date with ML advances and apply them.
🎯 Requirements
- Bachelor's or Master's in CS, Engineering, or a related field.
- 2+ years of ML experience; technically focused.
- Proficiency in Python.
- Experience with ML frameworks: MLflow, TensorFlow, or PyTorch.
- Familiarity with AWS/GCP and Docker/Kubernetes.
- Strong problem solving and teamwork; ability to explain complex concepts.
🎁 Benefits
- Collaborative, innovative environment with real impact.
- Work on cutting-edge ML projects and career growth.
- Continuous learning; Coursera license for courses.
- Recharge days: 10 free Fridays annually.
- Madrid office; flexible work hours.
- Regular team events and staff perks.
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